iPhone 15 Pro Max
Geekbench AI Score
3978
Single Precision Score
25233
Half Precision Score
35587
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 04:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
11258
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
16064
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1603
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15811
256.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21114
342.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8294
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
107572
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205533
240.9 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
13681
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
15437
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
36423
432.8 IPS |
|
|
Face Detection (Q)
|
100% |
52727
626.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7003
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78481
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127591
997.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21756
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204894
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
256230
330.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36124
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59183
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6577
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7611
131.5 IPS |
